Managing water resources system in a mixed inexact environment using superiority and inferiority measures

Liu, Ying; Huang, Guohe; Li, Y. P.; Sun, Wei

doi:10.1007/s00477-011-0533-1

Cited by 16 publications

(5 citation statements)

References 45 publications

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“…A chance constraint programming model includes groups of constraints, which do not need to be satisfied in all possible future scenarios. Decision-makers specify the probabilities with which constraints are satisfied individually [74,75,108,110,135,171,172,203,234] or jointly [72,73,119,137,228,231,244]. Closely related to this approach, Dong et al [44] propose a stochastic programming model with two objectives: maximising system benefits and maximising the probability that the constraints are satisfied.…”

Section: Water Allocationmentioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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Economic development, variation in weather patterns and natural disasters focus attention on the management of water resources. This paper reviews the literature on the development of mathematical programming models for water resource management under uncertainty between 2010 and 2017. A systematic search of the academic literature identified 448 journal articles on water resource management for examination. Bibliometric analysis is employed to investigate the methods that researchers are currently using to address this problem and to identify recent trends in research in the area. The research reveals that stochastic dynamic programming and multistage stochastic programming are the methods most commonly applied. Water resource allocation, climate change, water quality and agricultural irrigation are amongst the most frequently discussed topics in the literature. A more detailed examination of the literature on each of these topics is included. The findings suggest that there is a need for mathematical programming models of large-scale water systems that deal with uncertainty and multiobjectives in an effective and computationally efficient way.

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Section: Water Allocationmentioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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“…The Superiority and Inferiority Ranking (SIR) technique was introduced by Xu (2001). Lv et al (2012) indicated that the SIR method is considered an outranking method generalized for superiority and inferiority score notation taking into consideration the difference between types of generalized criteria and criteria values. This technique can also deal with data of different units and inexact environments.…”

Section: Multiple Criteria Decision-makingmentioning

confidence: 99%

Evaluating Building Systems Energy Performance Superiority and Inferiority Ranking

Marzouk¹,

Abdelbasset²,

Al-Gahtani³

2021

J ENVIRON INFORM

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Nowadays, the demand for sustainable buildings is increasing. The main purpose of buildings is to provide a comfortable living environment for their occupants, considering different aspects including thermal, visual, and acoustic comfort as well as Indoor Air Quality. Decreasing carbon footprint and energy consumption rates while increasing comfort level can help to achieve better living and working environment for building users. This research proposes a framework that aims at improving building system energy performance using building information modeling (BIM) during buildings' design stage by evaluating different alternatives for installed building systems. According to experts' opinions, evaluating buildings' energy performance by analyzing the energy consumption rates alone without including economic and environmental factors is insufficient. Therefore, in this paper, building systems are evaluated using four main criteria; operating cost savings, total energy consumption per year, Lifecycle cost savings, and carbon emissions. A Multiple Criteria Decision-making (MCDM) technique is applied using Superiority and Inferiority Ranking (SIR) to study the behavior of different alternatives. Sensitivity analysis is performed to detect the criticality and effectiveness of the different defined criteria that influence environmental concerns and building system energy performance. A case study is presented to demonstrate the use of the proposed framework on an academic building by considering four criteria which are Operating Costs, Life Cycle Cost, Energy Consumption, and Carbon Emissions. Sensitivity analysis is performed on the weights of the criteria to determine how critical each criterion is and how they affect the ranking of the alternatives. A total of 36 combinations are simulated, considering changing the weights and procedure (SAW vs. TOPSIS). The rank that has the top repetitive percentage is considered to identify the most dominating alternative.

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“…Starting from (27), we argue that the resource will deplete in time interval [T ,T ] if and only if there…”

Section: Assumption 2 S Is a Spatial Mixed Poisson Process (Smpp) Wimentioning

confidence: 99%

Exhaustion of resources: a marked temporal process framework

Cerqueti

2014

Stoch Environ Res Risk Assess

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This paper deals with the exhaustion of a replenishable resource, one of the main topics in environmental research. To examine this problem, we construct a mechanism to estimate the probability of depletion under a very small set of assumptions. The stock of the resource is assumed to evolve accordingly to a marked temporal process generated by the shocks occurring in the environment. Our setting is eminently theoretical, and constitutes an effective extension of some important models of stochastic growth regarding sustainability and ruin analysis. Furthermore, the validity of the model is supported through the evidence relative to the paradigmatic cases of water resource planning and oil reserves.

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Managing water resources system in a mixed inexact environment using superiority and inferiority measures

Cited by 16 publications

References 45 publications

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Evaluating Building Systems Energy Performance Superiority and Inferiority Ranking

Exhaustion of resources: a marked temporal process framework

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